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Market timing: a decomposition of mutual fund returns

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Author Info
Swinkels, L.A.P.
Sluis, van der P.J.
Verbeek, M.J.C.M (Tilburg University, Center for Economic Research)

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Abstract

We decompose the conditional expected mutual fund return in ve parts. Two parts, selectivity and expert market timing, can be attributed to manager skill, and three to variation in market exposure that can be achieved by private investors as well. The dynamic model that we use to estimate the relative importance of the components in the decomposition is a generalization of the performance evaluation models by Lockwood and Kadiyala (1988) and Ferson and Schadt (1996). We nd that the restrictions imposed in existing models may lead to di$erent inferences about manager selectivity and timing skill. The results from our sample of 78 asset allocation mutual funds indicate that several funds exhibit significant expert market timing, but for most funds variation in market exposures does not yield any economically signi cant return. Funds with high turnover and expense ratios are associated with managers with better skills.

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Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 95.

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Date of creation: 2003
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Handle: RePEc:dgr:kubcen:200395

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Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
G23 - Financial Economics - - Financial Institutions and Services - - - Pension Funds; Other Private Financial Institutions

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  1. Alexander, Gordon J. & Benson, P. George & Eger, Carol E., 1982. "Timing Decisions and the Behavior of Mutual Fund Systematic Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 17(04), pages 579-602, November. [Downloadable!]
  2. William N. Goetzmann & Jonathan E. Ingersoll Jr. & Zoran Ivkovich, 1998. "Monthly Measurement of Daily Timers," Yale School of Management Working Papers ysm88, Yale School of Management. [Downloadable!]
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  3. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," Journal of Business, University of Chicago Press, vol. 54(4), pages 513-33, October. [Downloadable!] (restricted)
  4. Matthew I. Spiegel & Harry Mamaysky & Hong Zhang, 2003. "Estimating the Dynamics of Mutual Fund Alphas and Betas," Yale School of Management Working Papers ysm353, Yale School of Management. [Downloadable!]
  5. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
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  6. Lockwood, Larry J. & Kadiyala, K. Rao, 1988. "Measuring investment performance with a stochastic parameter regression model," Journal of Banking & Finance, Elsevier, vol. 12(3), pages 457-467, September. [Downloadable!] (restricted)
  7. Glosten, L. R. & Jagannathan, R., 1994. "A contingent claim approach to performance evaluation," Journal of Empirical Finance, Elsevier, vol. 1(2), pages 133-160, January. [Downloadable!] (restricted)
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